| 2026 | AAAI | Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering. | Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang |
| 2026 | AAAI | ReACT: Reward-informed Autoregressive Decision CAD Transformer. | Yijie Ding, Yang Liu, Haobo Jiang, Jianmin Zheng |
| 2026 | AAAI | PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems. | Qi Guo, Xiaojun Jia, Shanmin Pang, Simeng Qin, Lin Wang, Ju Jia, Yang Liu, Qing Guo |
| 2026 | AAAI | Controllable Financial Market Generation with Diffusion Guided Meta Agent. | Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian |
| 2026 | AAAI | Addressing Polarization and Unfairness in Performative Prediction. | Kun Jin, Tian Xie, Yang Liu, Xueru Zhang |
| 2026 | AAAI | Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers. | Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu |
| 2026 | AAAI | On the Alignment of Large Language Models with Global Human Opinion. | Yang Liu, Masahiro Kaneko, Chenhui Chu |
| 2026 | AAAI | Improving Sustainability of Adversarial Examples in Class-Incremental Learning. | Taifeng Liu, Xinjing Liu, Liangqiu Dong, Yang Liu, Yilong Yang, Zhuo Ma |
| 2026 | AAAI | PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning. | Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang |
| 2026 | AAAI | ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders. | Xiangyu Liu, Haodi Lei, Yi Liu, Yang Liu, Wei Hu |
| 2026 | AAAI | I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks. | Ruichen Ma, Liwei Meng, Guanchao Qiao, Ning Ning, Yang Liu, Shaogang Hu |
| 2026 | AAAI | Visual-Friendly Concept Protection via Selective Adversarial Perturbations. | Xiaoyue Mi, Fan Tang, You Wu, Juan Cao, Peng Li, Yang Liu |
| 2026 | AAAI | Image-Text Knowledge Modeling for Unsupervised Multi-Scenario Person Re-Identification. | Zhiqi Pang, Lingling Zhao, Yang Liu, Chunyu Wang, Gaurav Sharma |
| 2026 | AAAI | ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation. | Yihua Shao, Xiaofeng Lin, Xinwei Long, Siyu Chen, Minxi Yan, Yang Liu, Ziyang Yan, Ao Ma, Hao Tang, Jingcai Guo |
| 2026 | AAAI | Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction. | Yuchen Wang, Dongpeng Hou, Weikai Jing, Chao Gao, Xianghua Li, Yang Liu |
| 2026 | AAAI | Temporal-Consistent Video Restoration with Pre-trained Diffusion Models. | Hengkang Wang, Yang Liu, Huidong Liu, Chien-Chih Wang, Yanhui Guo, Hongdong Li, Bryan Wang, Ju Sun |
| 2026 | AAAI | Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer. | Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu |
| 2026 | AAAI | MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents. | Yun Xing, Nhat Chung, Jie Zhang, Yue Cao, Ivor W. Tsang, Yang Liu, Lei Ma, Qing Guo |
| 2026 | AAAI | RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection. | Longlong Zhang, Xi Wang, Haotong Du, Yangyi Xu, Zhuo Liu, Yang Liu |
| 2026 | AAAI | Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents. | Haozhuo Zheng, Cheng Wang, Yang Liu |
| 2026 | ACL | FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness. | Hossam Amer, Maryam Dialameh, Hossein Rajabzadeh, Walid Ahmed, Weiwei Zhang, Yang Liu |
| 2026 | ACL | OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning. | Sheng Chen, Tang Zhe, Weixing Zhang, Fei Yang, Yuanyuan Wang, Tianlin Li, Yang Liu |
| 2026 | ACL | ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents. | Lei Ding, Bin He, Chenguang Wang, Yang Liu |
| 2026 | ACL | Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning. | Junpeng Ding, Zichen Tang, Haihong E, Mengyuan Ji, Yang Liu, Haolin Tian, Haiyang Sun, Pengqi Sun, Yang Xu, Yichen Liu, Haocheng Gao, Zijie Xi, Ruomeng Jiang, Peizhi Zhao, Rongjin Li, Yuanze Li, Jiacheng Liu, Zhongjun Yang, Jintong Chen, Siying Lin |
| 2026 | ACL | EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents. | Yaoqi Guo, Ying Xiao, Jie M. Zhang, Mark Harman, Yiling Lou, Yang Liu, Zhenpeng Chen |
| 2026 | ACL | Multi-Scale Spectral Selection and Entropy-Guided Uncertainty Fusion for Multimodal Rumor Detection. | Zongliang Han, Wenyu Guo, Guoqing Jin, Yang Liu, Fan Li, Dong Yu, Yan Song, Fengzhen Zhang |
| 2026 | ACL | Covariance Matrix-Driven Image Channel Allocation for Multimodal Fake News Detection. | Zongliang Han, Wenyu Guo, Guoqing Jin, Yang Liu, Yan Song, Dong Yu, Wang Min |
| 2026 | ACL | Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement. | Xinmeng Hou, Bohao Qu, Wuqi Wang, Peiliang Gong, Qing Guo, Yang Liu |
| 2026 | ACL | RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems. | Yu Jiang, Wenjie Wang, Yue Huang, Yanbo Wang, Zhenhong Zhou, Xiuying Chen, Yang Liu, Pin-Yu Chen, Wei Wang, Xiangliang Zhang |
| 2026 | ACL | False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models. | Weipeng Jiang, Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Yang Liu |
| 2026 | ACL | Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning. | Xuanyu Lei, Chenliang Li, Yuning Wu, Kaiming Liu, Weizhou Shen, Peng Li, Ming Yan, Fei Huang, Ya-Qin Zhang, Yang Liu |
| 2026 | ACL | FFN Lens: How Transformers Divide Labor for Multilingual Tasks. | Jiatong Li, Hailong Cao, Yang Liu |
| 2026 | ACL | TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning. | Junkai Li, Yunghwei Lai, Tianyi Zhu, Zheng Long Lee, Weizhi Ma, Yang Liu |
| 2026 | ACL | Understanding the Prompt Sensitivity. | Yang Liu, Chenhui Chu |
| 2026 | ACL | MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing. | Yang Liu, Jinxuan Cai, Yishen Li, Qi Meng, Zedi Liu, Xin Li, Chen Qian, Chuan Shi, Cheng Yang |
| 2026 | ACL | Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models. | Yang Liu, Hongming Li, Melissa Xiaohui Qin, Chao Huang, Qiankun Liu |
| 2026 | ACL | ACRM: Multi-Agent Trajectory Learning for Automated Credit Risk Model Refreshing in Production. | Liangzu Liu, Mengzhe Ruan, Xiaotian Chen, HaonanChen, XudongNiu, Wendi Yuan, YuechenLi, Yang Liu, Guanjun Wang |
| 2026 | ACL | Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration. | Zijun Liu, Zhennan Wan, Peng Li, Ming Yan, Fei Huang, Yang Liu |
| 2026 | ACL | Trustworthy and Explainable Causal Representation Learning in Transformers. | Yang Liu, Yinghao Zhang, Lin Liu, Jiuyong Li, Debo Cheng, Zaiwen Feng |
| 2026 | ACL | UR² : Unify RAG and Reasoning through Reinforcement Learning. | Weitao Li, Boran Xiang, Xiaolong Wang, Jingyi Ren, Ante Wang, Zhinan Gou, Weizhi Ma, Yang Liu |
| 2026 | ACL | Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation. | Tianjiao Li, Kai Zhao, Xiang Li, Yang Liu, Huyang Sun |
| 2026 | ACL | MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding. | Fuwen Luo, Shengfeng Lou, Chi Chen, Ziyue Wang, Chenliang Li, Weizhou Shen, Jiyue Guo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu |
| 2026 | ACL | Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors. | Fuwen Luo, Zihao Wan, Ziyue Wang, Yaluo Liu, Pau Tong Lin Xu, Xuanjia Qiao, Xiaolong Wang, Peng Li, Yang Liu |
| 2026 | ACL | Streaming Hallucination Detection in Long Chain-of-Thought Reasoning. | Haolang Lu, Minghui Pan, Ripeng Li, Guoshun Nan, Jialin Zhuang, Zijie Zhao, Zhongxiang Sun, Kun Wang, Yang Liu |
| 2026 | ACL | FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid Networks. | Mohammad Mahdi Moradi, Walid Ahmed, Shuangyue Wen, Sudhir Mudur, Weiwei Zhang, Yang Liu |
| 2026 | ACL | Beyond "I Don't Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty. | Jingyi Ren, Ante Wang, Yunghwei Lai, Xiaolong Wang, Linlu Gong, Weitao Li, Weizhi Ma, Yang Liu |
| 2026 | ACL | GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models. | Zhiwen Ruan, Yichao Du, Jianjie Zheng, Longyue Wang, Yun Chen, Peng Li, Jinsong Su, Yang Liu, Guanhua Chen |
| 2026 | ACL | InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning. | Junyou Su, He Zhu, Xiao Luo, Liyu Zhang, Hong-Yu Zhou, Yun Chen, Peng Li, Yang Liu, Guanhua Chen |
| 2026 | ACL | Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop. | Yaxuan Wang, Zhongteng Cai, Yujia Bao, Xueru Zhang, Yang Liu |
| 2026 | ACL | SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks. | Tianyi Wang, Yixia Li, Long Li, Yibiao Chen, Shaohan Huang, Yun Chen, Peng Li, Yang Liu, Guanhua Chen |
| 2026 | ACL | Enhancing Lexical Relation Mining with Structured Sememe Knowledge. | Hansi Wang, Qiliang Liang, Yue Wang, Yang Liu |
| 2026 | ACL | Rethinking Data Mixing from the Perspective of Large Language Models. | Yuanjian Xu, Tianze Sun, Changwei Xu, XinLong Zhao, Jianing Hao, Ran Chen, Yang Liu, Ruijie Xu, Stephen Chen, Guang Zhang |
| 2026 | ACL | The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training. | Rui Zhang, Hongwei Li, Yun Shen, Xinyue Shen, Wenbo Jiang, Guowen Xu, Yang Liu, Michael Backes, Yang Zhang |
| 2026 | ACL | Plug-and-Play Data Module for Code RL: Adaptive Ambiguity Replay. | Jianqing Zhang, Wei Xia, Zhezheng Hao, Hong Wang, Hande Dong, Qiang Lin, Yang Liu, Jian Cao, Qiang Yang |
| 2026 | ACL | Evaluating Memory Capability in Continuous Lifelog Scenario. | Jianjie Zheng, Zhichen Liu, Zhanyu Shen, Jingxiang Qu, Guanhua Chen, Yile Wang, Yang Xu, Yang Liu, Sijie Cheng |
| 2026 | ACL | CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models. | Zhenhong Zhou, Zherui Li, Jie Zhang, Yuanhe Zhang, Kun Wang, Yang Liu, Qing Guo |
| 2025 | AAAI | Perception-Guided Jailbreak Against Text-to-Image Models. | Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu |
| 2025 | AAAI | Human and AI Perceptual Differences in Image Classification Errors. | Minghao Liu, Jiaheng Wei, Yang Liu, James Davis |
| 2025 | AAAI | Exploring Enhanced Contextual Information for Video-Level Object Tracking. | Ben Kang, Xin Chen, Simiao Lai, Yang Liu, Yi Liu, Dong Wang |
| 2025 | AAAI | Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning. | Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun |
| 2025 | AAAI | DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes. | Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He |
| 2025 | AAAI | Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval. | Yang Liu, Shudong Huang, Deng Xiong, Jiancheng Lv |
| 2025 | AAAI | Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. | Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv |
| 2025 | AAAI | Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? | Yang Liu, Xiaoping Wang, Kai Lu |
| 2025 | AAAI | Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval. | Dezhao Luo, Shaogang Gong, Jiabo Huang, Hailin Jin, Yang Liu |
| 2025 | AAAI | FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks. | Da Sun Handason Tam, Huanle Xu, Yang Liu, Siyue Xie, Wing Cheong Lau |
| 2025 | AAAI | MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt. | Yuhao Wang, Xuehu Liu, Tianyu Yan, Yang Liu, Aihua Zheng, Pingping Zhang, Huchuan Lu |
| 2025 | AAAI | DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification. | Yuhao Wang, Yang Liu, Aihua Zheng, Pingping Zhang |
| 2025 | AAAI | From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization. | Xueyi Wang, Lele Zhang, Zheng Fan, Yang Liu, Chen Chen, Fang Deng |
| 2025 | AAAI | PlanLLM: Video Procedure Planning with Refinable Large Language Models. | Dejie Yang, Zijing Zhao, Yang Liu |
| 2025 | AAAI | S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. | Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao |
| 2025 | AAAI | Dynamic Graph Learning with Static Relations for Credit Risk Assessment. | Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao |
| 2025 | AAAI | Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. | Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang |
| 2025 | ACISP | LPIA: Label Preference Inference Attack Against Federated Graph Learning. | Jiaxue Bai, Lu Shi, Yang Liu, Weizhe Zhang |
| 2025 | ACL | Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization. | Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Yang Liu, Geguang Pu |
| 2025 | ACL | MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies. | Yang Liu, Jiahuan Cao, Hiuyi Cheng, Yongxin Shi, Kai Ding, Lianwen Jin |
| 2025 | ACL | CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation. | Guofeng Cui, Pichao Wang, Yang Liu, Zemian Ke, Zhu Liu, Vimal Bhat |
| 2025 | ACL | StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7, 000+ Real-World APIs. | Zhicheng Guo, Sijie Cheng, Yuchen Niu, Hao Wang, Sicheng Zhou, Wenbing Huang, Yang Liu |
| 2025 | ACL | Personality-Guided Code Generation Using Large Language Models. | Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma |
| 2025 | ACL | LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. | Jin Jiang, Yuchen Yan, Yang Liu, Jianing Wang, Shuai Peng, Xunliang Cai, Yixin Cao, Mengdi Zhang, Liangcai Gao |
| 2025 | ACL | FaVe: Factored and Verified Search Rationale for Long-form Answer. | Jihyuk Kim, Sungjin Lee, Seung-won Hwang, Yang Liu |
| 2025 | ACL | ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection. | Jiaqi Li, Xinyi Dong, Yang Liu, Zhizhuo Yang, Quansen Wang, Xiaobo Wang, Song-Chun Zhu, Zixia Jia, Zilong Zheng |
| 2025 | ACL | The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights. | Yufang Liu, Yao Du, Tao Ji, Jianing Wang, Yang Liu, Yuanbin Wu, Aimin Zhou, Mengdi Zhang, Xunliang Cai |
| 2025 | ACL | FlashAudio: Rectified Flow for Fast and High-Fidelity Text-to-Audio Generation. | Huadai Liu, Jialei Wang, Rongjie Huang, Yang Liu, Heng Lu, Zhou Zhao, Wei Xue |
| 2025 | ACL | Socratic Style Chain-of-Thoughts Help LLMs to be a Better Reasoner. | Jiangbo Pei, Peiyu Liu, Xin Zhao, Aidong Men, Yang Liu |
| 2025 | ACL | COSMIC: Generalized Refusal Direction Identification in LLM Activations. | Vincent Siu, Nicholas Crispino, Zihao Yu, Sam Pan, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang |
| 2025 | ACL | FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging. | Zichen Tang, Haihong E, Ziyan Ma, Haoyang He, Jiacheng Liu, Zhongjun Yang, Zihua Rong, Rongjin Li, Kun Ji, Qing Huang, Xinyang Hu, Yang Liu, Qianhe Zheng |
| 2025 | ACL | ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models. | Ziyue Wang, Chi Chen, Fuwen Luo, Yurui Dong, Yuanchi Zhang, Yuzhuang Xu, Xiaolong Wang, Peng Li, Yang Liu |
| 2025 | ACL | Perspective Transition of Large Language Models for Solving Subjective Tasks. | Xiaolong Wang, Yuanchi Zhang, Ziyue Wang, Yuzhuang Xu, Fuwen Luo, Yile Wang, Peng Li, Yang Liu |
| 2025 | ACL | KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding. | Zhangchen Xu, Yang Liu, Yueqin Yin, Mingyuan Zhou, Radha Poovendran |
| 2025 | ACL | Knowledge Image Matters: Improving Knowledge-Based Visual Reasoning with Multi-Image Large Language Models. | Guanghui Ye, Huan Zhao, Zhixue Zhao, Xupeng Zha, Yang Liu, Zhihua Jiang |
| 2025 | ACL | The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation. | Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Weipeng Jiang, Qian Wang, Chao Shen, Yang Liu |
| 2025 | ACL | Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings. | Yuanhe Zhang, Zhenhong Zhou, Wei Zhang, Xinyue Wang, Xiaojun Jia, Yang Liu, Sen Su |
| 2025 | ACL | HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System. | Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam |
| 2025 | ADMA | Context-Aware Heterogeneous Graph Interactive Learning for Document-Level Event Extraction. | Yang Liu, Fumin Guo, Cheng Hu, Fangfang Yuan, Cong Cao, Lei Zhang |
| 2025 | AISTATS | To Give or Not to Give? The Impacts of Strategically Withheld Recourse. | Yatong Chen, Andrew Estornell, Yevgeniy Vorobeychik, Yang Liu |
| 2024 | AAAI | Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. | Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu |
| 2024 | AAAI | FedMut: Generalized Federated Learning via Stochastic Mutation. | Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu |
| 2024 | AAAI | Comprehensive Visual Grounding for Video Description. | Wenhui Jiang, Yibo Cheng, Linxin Liu, Yuming Fang, Yuxin Peng, Yang Liu |
| 2024 | AAAI | Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. | Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu |
| 2024 | AAAI | FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. | Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu |
| 2024 | AAAI | Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification. | Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu |
| 2024 | AAAI | Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models. | Yang Liu |
| 2024 | AAAI | Knowledge Graph Error Detection with Contrastive Confidence Adaption. | Xiangyu Liu, Yang Liu, Wei Hu |
| 2024 | AAAI | Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA. | Wentao Mo, Yang Liu |
| 2024 | AAAI | Fair Participation via Sequential Policies. | Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu |
| 2024 | AAAI | Semantic-Guided Novel Category Discovery. | Weishuai Wang, Ting Lei, Qingchao Chen, Yang Liu |
| 2024 | AAAI | Providing Fair Recourse over Plausible Groups. | Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu |
| 2024 | AAAI | FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. | Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao |
| 2024 | AAAI | Novel Class Discovery in Chest X-rays via Paired Images and Text. | Jiaying Zhou, Yang Liu, Qingchao Chen |
| 2024 | ACL | Model Composition for Multimodal Large Language Models. | Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu |
| 2024 | ACL | Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues. | Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang, Yang Liu |
| 2024 | ACL | StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. | Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu |
| 2024 | ACL | Citation-Enhanced Generation for LLM-based Chatbots. | Weitao Li, Junkai Li, Weizhi Ma, Yang Liu |
| 2024 | ACL | PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. | An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu |
| 2024 | ACL | CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models. | Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu |
| 2024 | ACL | Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion. | Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu |
| 2024 | ACL | Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation. | Yue Wang, Qiliang Liang, Yaqi Yin, Hansi Wang, Yang Liu |
| 2024 | ACL | Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models. | Xiaolong Wang, Yile Wang, Yuanchi Zhang, Fuwen Luo, Peng Li, Maosong Sun, Yang Liu |
| 2024 | ACL | Small Models are Valuable Plug-ins for Large Language Models. | Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley |
| 2024 | ACL | Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages. | Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu |
| 2024 | ACL | Budget-Constrained Tool Learning with Planning. | Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu |
| 2023 | AAAI | Background-Mixed Augmentation for Weakly Supervised Change Detection. | Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu |
| 2023 | AAAI | Unsupervised Explanation Generation via Correct Instantiations. | Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong |
| 2023 | AAAI | AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio. | Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li |
| 2023 | AAAI | A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. | Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang |
| 2023 | AAAI | Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. | Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu |
| 2023 | AAAI | EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition. | Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang |
| 2023 | AAAI | Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup. | Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur |
| 2023 | AAAI | Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. | Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li |
| 2023 | AAAI | Anonymization for Skeleton Action Recognition. | Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim |
| 2023 | AAAI | Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. | Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao |
| 2023 | AAAI | Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization. | Minghang Zheng, Sizhe Li, Qingchao Chen, Yuxin Peng, Yang Liu |
| 2023 | ACL | UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. | Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang |
| 2023 | ACL | Weakly Supervised Vision-and-Language Pre-training with Relative Representations. | Chi Chen, Peng Li, Maosong Sun, Yang Liu |
| 2023 | ACL | Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. | Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang |
| 2023 | ACL | Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. | Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu |
| 2023 | ACL | Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. | Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang |
| 2023 | ACL | An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation. | Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, Yang Liu |
| 2023 | ACL | Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation. | Kaiyu Huang, Peng Li, Jin Ma, Ting Yao, Yang Liu |
| 2023 | ACL | Improving Radiology Summarization with Radiograph and Anatomy Prompts. | Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang |
| 2023 | ACL | KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce. | Qinjin Jia, Yang Liu, Daoping Wu, Shaoyuan Xu, Huidong Liu, Jinmiao Fu, Roland Vollgraf, Bryan Wang |
| 2023 | ACL | Multi-target Backdoor Attacks for Code Pre-trained Models. | Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu |
| 2023 | ACL | DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. | Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li |
| 2023 | ACL | Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences. | Chaojun Wang, Yang Liu, Wai Lam |
| 2023 | ACL | T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. | Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Eric Wang |
| 2023 | ACL | KILM: Knowledge Injection into Encoder-Decoder Language Models. | Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tr |
| 2023 | ACL | Continual Knowledge Distillation for Neural Machine Translation. | Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu |
| 2023 | ACL | Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization. | Minghang Zheng, Shaogang Gong, Hailin Jin, Yuxin Peng, Yang Liu |
| 2023 | ACL | Unified Contextual Query Rewriting. | Yingxue Zhou, Jie Hao, Mukund Rungta, Yang Liu, Eunah Cho, Xing Fan, Yanbin Lu, Vishal Thanvantri Vasudevan, Kellen Gillespie, Zeynab Raeesy |
| 2023 | ACL | Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. | Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu |
| 2023 | AIES | Adaptive Adversarial Training Does Not Increase Recourse Costs. | Ian Hardy, Jayanth Yetukuri, Yang Liu |
| 2023 | AIES | Towards User Guided Actionable Recourse. | Jayanth Yetukuri, Ian Hardy, Yang Liu |
| 2022 | AAAI | TransZero: Attribute-Guided Transformer for Zero-Shot Learning. | Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You |
| 2022 | AAAI | DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. | Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He |
| 2022 | AAAI | Perceptual Quality Assessment of Omnidirectional Images. | Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu |
| 2022 | AAAI | Contribution-Aware Federated Learning for Smart Healthcare. | Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang |
| 2022 | AAAI | Exploring Motion and Appearance Information for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu |
| 2022 | AAAI | A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition. | Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su |
| 2022 | AAAI | Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining. | Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu |
| 2022 | AAAI | SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. | Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai |
| 2022 | AAAI | DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. | Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2022 | ACCV | Scale Adaptive Fusion Network for RGB-D Salient Object Detection. | Yuqiu Kong, Yushuo Zheng, Cuili Yao, Yang Liu, He Wang |
| 2022 | ACCV | Group Guided Data Association for Multiple Object Tracking. | Yubin Wu, Hao Sheng, Shuai Wang, Yang Liu, Zhang Xiong, Wei Ke |
| 2022 | ACL | What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation. | Sarik Ghazarian, Behnam Hedayatnia, Alexandros Papangelis, Yang Liu, Dilek Hakkani-Tur |
| 2022 | ACL | End-to-End Segmentation-based News Summarization. | Yang Liu, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction. | Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang |
| 2022 | ACL | Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking. | Tianyi Luo, Rui Meng, Xin Wang, Yang Liu |
| 2022 | ACL | VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator. | Ayush Shrivastava, Karthik Gopalakrishnan, Yang Liu, Robinson Piramuthu, Gkhan Tr, Devi Parikh, Dilek Hakkani-Tur |
| 2022 | ACL | MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators. | Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu |
| 2022 | ACL | Assessing Multilingual Fairness in Pre-trained Multimodal Representations. | Jialu Wang, Yang Liu, Xin Eric Wang |
| 2022 | ACL | Integrating Vectorized Lexical Constraints for Neural Machine Translation. | Shuo Wang, Zhixing Tan, Yang Liu |
| 2022 | ACL | Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. | Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. | Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur |
| 2022 | AISTATS | Adaptive A/B Test on Networks with Cluster Structures. | Yang Liu, Yifan Zhou, Ping Li, Feifang Hu |
| 2021 | AAAI | Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval. | Qingchao Chen, Yang Liu, Samuel Albanie |
| 2021 | AAAI | EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. | Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao |
| 2021 | AAAI | Reinforcement Learning-based Product Delivery Frequency Control. | Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang |
| 2021 | AAAI | Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. | Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong |
| 2021 | AAAI | Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks. | Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun |
| 2021 | ACL | DialogSum: A Real-Life Scenario Dialogue Summarization Dataset. | Yulong Chen, Yang Liu, Liang Chen, Yue Zhang |
| 2021 | ACL | Mask-Align: Self-Supervised Neural Word Alignment. | Chi Chen, Maosong Sun, Yang Liu |
| 2021 | ACL | Transfer Learning for Sequence Generation: from Single-source to Multi-source. | Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu |
| 2021 | ACL | Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. | Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu |
| 2021 | ACL | Retrieval Enhanced Model for Commonsense Generation. | Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng |
| 2021 | ACL | On the Language Coverage Bias for Neural Machine Translation. | Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu |
| 2021 | ACL | Fusing Context Into Knowledge Graph for Commonsense Question Answering. | Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang |
| 2021 | AISTATS | Linear Models are Robust Optimal Under Strategic Behavior. | Wei Tang, Chien-Ju Ho, Yang Liu |
| 2020 | AAAI | Structure-Aware Feature Fusion for Unsupervised Domain Adaptation. | Qingchao Chen, Yang Liu |
| 2020 | AAAI | Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. | Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu |
| 2020 | AAAI | FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. | Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang |
| 2020 | AAAI | Multi-Zone Unit for Recurrent Neural Networks. | Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou |
| 2020 | AAAI | Image Formation Model Guided Deep Image Super-Resolution. | Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang |
| 2020 | AAAI | Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. | Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu |
| 2020 | AAAI | Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. | Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu |
| 2020 | AAAI | Reinforcement Learning with Perturbed Rewards. | Jingkang Wang, Yang Liu, Bo Li |
| 2020 | AAAI | Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. | Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin |
| 2020 | ACL | On the Inference Calibration of Neural Machine Translation. | Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu |
| 2020 | AIES | A Fairness-aware Incentive Scheme for Federated Learning. | Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang |
| 2020 | AISTATS | Online Learning Using Only Peer Prediction. | Yang Liu, David P. Helmbold |
| 2019 | AAAI | Randomized Wagering Mechanisms. | Yiling Chen, Yang Liu, Juntao Wang |
| 2019 | AAAI | Bayesian Fairness. | Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic |
| 2019 | AAAI | Dependency Grammar Induction with a Neural Variational Transition-Based Parser. | Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller |
| 2019 | AAAI | Implanting Rational Knowledge into Distributed Representation at Morpheme Level. | Zi Lin, Yang Liu |
| 2019 | AAAI | Recognizing Unseen Attribute-Object Pair with Generative Model. | Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu |
| 2019 | AAAI | EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning. | Jinfu Ren, Yang Liu, Jiming Liu |
| 2019 | AAAI | A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation. | Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang |
| 2019 | ACL | Hierarchical Transformers for Multi-Document Summarization. | Yang Liu, Mirella Lapata |
| 2019 | ACL | Shared-Private Bilingual Word Embeddings for Neural Machine Translation. | Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu |
| 2019 | ACL | Generating Summaries with Topic Templates and Structured Convolutional Decoders. | Laura Perez-Beltrachini, Yang Liu, Mirella Lapata |
| 2019 | ACL | Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach. | Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun |
| 2019 | ACSAC | An empirical study of SMS one-time password authentication in Android apps. | Siqi Ma, Runhan Feng, Juanru Li, Yang Liu, Surya Nepal, Diethelm Ostry, Elisa Bertino, Robert H. Deng, Zhuo Ma, Sanjay Jha |
| 2019 | AIES | How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness. | Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu |
| 2018 | AAAI | Zero-Resource Neural Machine Translation with Multi-Agent Communication Game. | Yun Chen, Yang Liu, Victor O. K. Li |
| 2018 | AAAI | Robust Formulation for PCA: Avoiding Mean Calculation With L | Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao |
| 2018 | AAAI | Dictionary Learning Inspired Deep Network for Scene Recognition. | Yang Liu, Qingchao Chen, Wei Chen, Ian J. Wassell |
| 2018 | AAAI | Euler Sparse Representation for Image Classification. | Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang |
| 2018 | AAAI | Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning. | Yang Liu, Chien-Ju Ho |
| 2018 | AAAI | Improved Text Matching by Enhancing Mutual Information. | Yang Liu, Wenge Rong, Zhang Xiong |
| 2018 | AAAI | Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks. | Yang Liu, Yi-fang Brook Wu |
| 2018 | AAAI | Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-Step Clustering-Based Strategy. | Yikun Zhang, Yang Liu, Jiming Liu |
| 2018 | AAAI | Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm. | Yikun Zhang, Jiming Liu, Yang Liu |
| 2018 | AAAI | Asynchronous Bidirectional Decoding for Neural Machine Translation. | Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang |
| 2018 | ACL | Towards Robust Neural Machine Translation. | Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu |
| 2017 | AAAI | Maximum Reconstruction Estimation for Generative Latent-Variable Models. | Yong Cheng, Yang Liu, Wei Xu |
| 2017 | AAAI | Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. | Yang Liu, Yiling Chen |
| 2017 | AAAI | Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. | Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu |
| 2017 | AAAI | Neural Machine Translation with Reconstruction. | Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li |
| 2017 | AAAI | Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision. | Meng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun |
| 2017 | ACL | A Teacher-Student Framework for Zero-Resource Neural Machine Translation. | Yun Chen, Yang Liu, Yong Cheng, Victor O. K. Li |
| 2017 | ACL | Visualizing and Understanding Neural Machine Translation. | Yanzhuo Ding, Yang Liu, Huanbo Luan, Maosong Sun |
| 2017 | ACL | Adversarial Training for Unsupervised Bilingual Lexicon Induction. | Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun |
| 2017 | ACL | Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization. | Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun |
| 2016 | AAAI | To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation. | Christian Hadiwinoto, Yang Liu, Hwee Tou Ng |
| 2016 | AAAI | Finding One's Best Crowd: Online Learning By Exploiting Source Similarity. | Yang Liu, Mingyan Liu |
| 2016 | AAAI | Implicit Discourse Relation Classification via Multi-Task Neural Networks. | Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui |
| 2016 | AAAI | Is It Harmful When Advisors Only Pretend to Be Honest? | Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu |
| 2016 | AAAI | Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation. | Meng Zhang, Yang Liu, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao |
| 2016 | ACL | Semi-Supervised Learning for Neural Machine Translation. | Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu |
| 2016 | ACL | Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora. | Chunyang Liu, Yang Liu, Maosong Sun, Huan-Bo Luan, Heng Yu |
| 2016 | ACL | Minimum Risk Training for Neural Machine Translation. | Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu |
| 2016 | ACL | Modeling Coverage for Neural Machine Translation. | Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li |
| 2016 | ACL | Is This Post Persuasive? Ranking Argumentative Comments in Online Forum. | Zhongyu Wei, Yang Liu, Yi Li |
| 2016 | ACL | A Preliminary Study of Disputation Behavior in Online Debating Forum. | Zhongyu Wei, Yandi Xia, Chen Li, Yang Liu, Zachary Stallbohm, Yi Li, Yang Jin |
| 2016 | ACL | An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network. | Yandi Xia, Zhongyu Wei, Yang Liu |
| 2016 | ACSSC | Super-resolution DOA estimation using a coprime sensor array with the min processor. | Yang Liu, John R. Buck |
| 2015 | AAAI | A Novel Neural Topic Model and Its Supervised Extension. | Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, Heng Ji |
| 2015 | AAAI | Automated Analysis of Commitment Protocols Using Probabilistic Model Checking. | Akin Gnay, Songzheng Song, Yang Liu, Jie Zhang |
| 2015 | AAAI | Learning Entity and Relation Embeddings for Knowledge Graph Completion. | Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu |
| 2015 | AAAI | Topical Word Embeddings. | Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun |
| 2015 | AAAI | Contrastive Unsupervised Word Alignment with Non-Local Features. | Yang Liu, Maosong Sun |
| 2015 | ACL | Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words. | Chen Li, Yang Liu |
| 2015 | ACL | A Dependency-Based Neural Network for Relation Classification. | Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang |
| 2015 | ACL | Feature Selection in Kernel Space: A Case Study on Dependency Parsing. | Xian Qian, Yang Liu |
| 2015 | ACL | Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network. | Qiao Qian, Bo Tian, Minlie Huang, Yang Liu, Xuan Zhu, Xiaoyan Zhu |
| 2015 | ACL | Learning Cross-lingual Word Embeddings via Matrix Co-factorization. | Tianze Shi, Zhiyuan Liu, Yang Liu, Maosong Sun |
| 2015 | ACL | A Context-Aware Topic Model for Statistical Machine Translation. | Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang |
| 2015 | ACL | Using Tweets to Help Sentence Compression for News Highlights Generation. | Zhongyu Wei, Yang Liu, Chen Li, Wei Gao |
| 2015 | ACL | The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters. | Dakui Zhang, Yu Mao, Yang Liu, Hanshi Wang, Chuyuan Wei, Shiping Tang |
| 2015 | ACSSC | Detecting Gaussian signals in the presence of interferers using the coprime sensor arrays with the min processor. | Yang Liu, John R. Buck |
| 2014 | ACL | Improving Text Normalization via Unsupervised Model and Discriminative Reranking. | Chen Li, Yang Liu |
| 2014 | ACL | Polynomial Time Joint Structural Inference for Sentence Compression. | Xian Qian, Yang Liu |
| 2013 | AAAI | An Extended GHKM Algorithm for Inducing Lambda-SCFG. | Peng Li, Yang Liu, Maosong Sun |
| 2013 | ACL | Using Supervised Bigram-based ILP for Extractive Summarization. | Chen Li, Xian Qian, Yang Liu |
| 2013 | ACL | A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation. | Yang Liu |
| 2013 | ACL | Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization. | Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, Jun Zhao |
| 2013 | ADMA | Traffic Session Identification Based on Statistical Language Model. | Xinyan Lou, Yang Liu, Xiaohui Yu |
| 2012 | AAAI | Sequence Labeling with Non-Negative Weighted Higher Order Features. | Xian Qian, Yang Liu |
| 2012 | ACL | Sentence Dependency Tagging in Online Question Answering Forums. | Zhonghua Qu, Yang Liu |
| 2012 | ACL | A Two-step Approach to Sentence Compression of Spoken Utterances. | Dong Wang, Xian Qian, Yang Liu |
| 2011 | AAAI | Ordinal Regression via Manifold Learning. | Yang Liu, Yan Liu, Keith C. C. Chan |
| 2011 | ACL | N-Best Rescoring Based on Pitch-accent Patterns. | Je Hun Jeon, Wen Wang, Yang Liu |
| 2011 | ACL | Adjoining Tree-to-String Translation. | Yang Liu, Qun Liu, Yajuan L |
| 2011 | ACL | Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision. | Fei Liu, Fuliang Weng, Bingqing Wang, Yang Liu |
| 2011 | ACL | Automatic Summarization. | Ani Nenkova, Sameer Maskey, Yang Liu |
| 2011 | ACL | Interactive Group Suggesting for Twitter. | Zhonghua Qu, Yang Liu |
| 2011 | ACL | A Pilot Study of Opinion Summarization in Conversations. | Dong Wang, Yang Liu |
| 2010 | AAAI | Multilinear Maximum Distance Embedding Via L1-Norm Optimization. | Yang Liu, Yan Liu, Keith C. C. Chan |
| 2010 | AAAI | Forest-Based Semantic Role Labeling. | Hao Xiong, Haitao Mi, Yang Liu, Qun Liu |
| 2010 | AAIM | A Linear Kernel for Co-Path/Cycle Packing. | Zhi-Zhong Chen, Michael R. Fellows, Bin Fu, Haitao Jiang, Yang Liu, Lusheng Wang, Binhai Zhu |
| 2010 | ACL | Learning Lexicalized Reordering Models from Reordering Graphs. | Jinsong Su, Yang Liu, Yajuan L, Haitao Mi, Qun Liu |
| 2010 | AINA | Design and Construction of a Prototype Secure Wireless Mesh Network Testbed. | Donglai Sun, Yue Wu, Tian Wu, Yang Liu, Ning Liu, Junhua Tang |
| 2009 | ACCV | Spectral Graph Partitioning Based on a Random Walk Diffusion Similarity Measure. | Xi Li, Weiming Hu, Zhongfei Zhang, Yang Liu |
| 2009 | ACL | Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm. | Je Hun Jeon, Yang Liu |
| 2009 | ACL | From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression? | Fei Liu, Yang Liu |
| 2009 | ACL | Improving Tree-to-Tree Translation with Packed Forests. | Yang Liu, Yajuan L, Qun Liu |
| 2009 | ACL | Joint Decoding with Multiple Translation Models. | Yang Liu, Haitao Mi, Yang Feng, Qun Liu |
| 2009 | ACL | Sub-Sentence Division for Tree-Based Machine Translation. | Hao Xiong, Wenwen Xu, Haitao Mi, Yang Liu, Qun Liu |
| 2008 | ACL | Correlation between ROUGE and Human Evaluation of Extractive Meeting Summaries. | Feifan Liu, Yang Liu |
| 2008 | ACSSC | Motion compensation aided motion adaptive de-interlacing for real-time video processing applications. | Hongbin Sun, Yang Liu, Nanning Zheng, Tong Zhang |
| 2008 | ACSSC | Analysis of voltage overscaled computer arithmetics in low power signal processing systems. | Yang Liu, Tong Zhang, Keshab K. Parhi |
| 2007 | ACL | Forest-to-String Statistical Translation Rules. | Yang Liu, Yun Huang, Qun Liu, Shouxun Lin |
| 2007 | ACL | Unsupervised Language Model Adaptation Incorporating Named Entity Information. | Feifan Liu, Yang Liu |
| 2007 | AICCSA | Solving P2P Traffic Identification Problems Via Optimized Support Vector Machines. | Yue-Xiang Yang, Rui Wang, Yang Liu, Shang-zhen Li, Xiao-yong Zhou |
| 2006 | ACCV | Self-calibration Based 3D Information Extraction and Application in Broadcast Soccer Video. | Yang Liu, Dawei Liang, Qingming Huang, Wen Gao |
| 2006 | ACL | PCFGs with Syntactic and Prosodic Indicators of Speech Repairs. | John Hale, Izhak Shafran, Lisa Yung, Bonnie J. Dorr, Mary P. Harper, Anna Krasnyanskaya, Matthew Lease, Yang Liu, Brian Roark, Matthew G. Snover, Robin Stewart |
| 2006 | ACL | Tree-to-String Alignment Template for Statistical Machine Translation. | Yang Liu, Qun Liu, Shouxun Lin |
| 2005 | ACII | Simulated Annealing Based Hand Tracking in a Discrete Space. | Wei Liang, Yunde Jia, Yang Liu, Cheng Ge |
| 2005 | ACL | Log-Linear Models for Word Alignment. | Yang Liu, Qun Liu, Shouxun Lin |
| 2005 | ACL | Using Conditional Random Fields for Sentence Boundary Detection in Speech. | Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mary P. Harper |